{"id":"W4210649882","doi":"10.1002/for.2787","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Journal of Forecasting","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001395041,0.001146189,0.00146164,0.003287644,0.001409491,0.00524913,0.001884312,0.002288827,0.9496633],"category_scores_gemma":[0.01158211,0.0005266326,0.0007944733,0.003187819,0.000365449,0.003142596,0.001847335,0.001798268,0.8944495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117598,"about_ca_system_score_gemma":0.002090964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922649,"about_ca_topic_score_gemma":0.003703072,"domain_scores_codex":[0.9987684,0.0001427544,0.0001063461,0.000179124,0.0006323688,0.0001710415],"domain_scores_gemma":[0.9934176,0.001050059,0.000248646,0.0007729924,0.003129567,0.001381037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002971392,0.00001855071,0.00004276251,0.0001171155,0.000001446765,0.00001343001,0.000007550954,0.00002006275,0.00006114468,0.00074474,0.9792089,0.01973447],"study_design_scores_gemma":[0.00001652787,0.00001726701,0.0002056013,0.0001046403,0.000001887562,0.00002216386,0.0000194867,0.0000490946,0.00008161496,0.0005897516,0.9988877,0.000004198385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003886375,0.0007074251,0.0009367777,0.005677801,0.01883565,0.0005917987,0.06319949,0.002490767,0.9071717],"genre_scores_gemma":[0.001315836,0.0004732221,0.0003598416,0.001379783,0.001664029,0.0001583494,0.01658431,0.0006320971,0.9774325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05033666,"threshold_uncertainty_score":0.07179916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0631382867450737,"score_gpt":0.2224138600775679,"score_spread":0.1592755733324942,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}